MMC is seeking candidates for the following position based in the Mexico City office and be onsite 3 days a week: Data Scientist
What is in it for you?
We will count on you to:
• Conduct advanced statistical analysis and build machine learning models using Python, focusing on libraries like Pandas, scikit-learn, and PyTorch.
• Develop and deploy time series forecasting models to optimize business operations.
• Design and maintain scalable data pipelines that ensure smooth data flow and high-quality model outputs.
• Create insightful visualizations using Matplotlib or Seaborn to support decision-making across business units.
• Work closely with cross-functional teams to ensure model integration aligns with business objectives.
• Ensure best practices in model validation, performance monitoring, and continuous improvement.
• Engage in continuous learning and stay up to date with the latest advancements in data science. You will be expected to conduct independent research and apply new techniques to business challenges.
What you need to have:
• A bachelor’s or master’s degree in Computer Science, Mathematics, Statistics, or a related field.
• 3+ years of hands-on experience in data science, with a strong foundation in statistical methods.
• Proficiency in Python, particularly in Pandas, scikit-learn, and PyTorch.
• Experience with data visualization libraries such as Matplotlib and Seaborn.
• Demonstrated expertise in time series analysis and modeling.
• Strong understanding of SQL for data extraction and manipulation.
• Experience with version control tools, particularly Git and GitHub, for collaborative coding and project management.
• A demonstrated passion for continuous learning and professional development in data science.
• Effective communication skills in English (C1 level), with the ability to explain complex concepts to both technical and non-technical audiences.
What makes you stand out?
• Experience with cloud platforms like AWS or Azure, especially for model deployment.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Experience with PySpark for large-scale data processing.
• Experience with model tracking and experiment management tools like MLflow.
• Background in global professional services or similar environments.
If you are interested, please send your CV in English.
Interviews will be held in English.
Marsh McLennan (NYSE: MMC) is the world’s leading professional services firm in the areas of risk, strategy and people. The Company’s 85,000 colleagues advise clients in 130 countries. With annual revenue of over $20 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh provides data-driven risk advisory services and insurance solutions to commercial and consumer clients. Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations redefine the world of work, reshape retirement and investment outcomes, and unlock health and well being for a changing workforce. Oliver Wyman s serves as a critical strategic, economic and brand advisor to private sector and governmental clients. For more information, visit marshmclennan.com, or follow us on LinkedIn and Twitter.
Marsh McLennan is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local based teams will identify at least one “anchor day” per week on which their full team will be together in person. office or working onsite with clients at least three days per week.
